Assistant Professor - Healthcare Engineering

University of Toronto; Toronto; On-site; CAD 140,000 - 170,000; Full time

Job summary

University of Toronto invites applications for an Assistant Professor in Healthcare Engineering within the Department of Mechanical and Industrial Engineering. The role emphasizes quantitative design, analysis, and optimization of healthcare delivery systems using operations research, ML, and AI, with a strong emphasis on research and teaching excellence.

The successful candidate will pursue independent, funded research, collaborate with hospitals, and contribute to teaching and service.

Qualifications

• PhD required by appointment time.
• Evidence of research excellence through publications, impact, awards or referees.
• Strong letters of reference and teaching dossier required.

Responsibilities

• Pursue innovative and independent research and establish an externally funded program.
• Develop partnerships with hospitals and healthcare systems in Ontario and beyond.
• Handle teaching load and service duties as part of the faculty responsibilities.

Skills

Quantitative methods

Operations Research

Teaching experience

Collaborative research

Education

PhD in Industrial Engineering or related field

Job description

Assistant Professor - Healthcare Engineering

Date Posted: 09/30/2026
Closing Date: 11/11/2026, 11:59PM ET
Req ID: 50205
Job Category: Faculty - Tenure Stream (continuing)
Faculty/Division: Faculty of Applied Science & Engineering
Department: Department of Mechanical and Industrial Engineering
Campus:St. George (Downtown Toronto)
Existing Vacancy: Yes

Candidates must have earned a PhD degree in Industrial Engineering, Operations Research, Operations Management, or a closely related field by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths . In particular, we seek candidates whose research focuses on the quantitative design, analysis, and optimization of healthcare delivery systems using operations research methods, including their integration with complementary approaches such as empirical methods, machine learning, and artificial intelligence.

Candidates must provide evidence of research excellence which can be demonstrated by a record of publications in top-ranked and field relevant journals or forthcoming publications meeting high international standards, the submitted research statement, evidence of practical or policy impact in healthcare, presentations at significant conferences, awards and accolades, and strong endorsements from referees.

Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier (with required materials outlined below) submitted as part of the application, as well as strong letters of reference.

RESPONSIBILITIES

The successful candidate will be expected to pursue innovative and independent research, leverage opportunities to develop sustained partnerships with hospitals and healthcare systems in Ontario and beyond, and establish an outstanding, competitive, and externally funded research program with practical impact.

In addition, the successful candidate will be assigned a teaching and service load.

HIRING SALARY RANGE

The expected salary range is CAD $140k-170k per annum, depending on experience. Negotiations beyond this salary range will be considered for exceptionally qualified candidates.

ABOUT US

Established in 1827, and located in vibrant downtown Toronto, the University of Toronto is Canada's largest university, recognized as a global leader in research and teaching. UofT's distinguished faculty, institutional record of groundbreaking scholarship and wealth of innovative academic opportunities attract outstanding students and academics from around the world. The Department of Mechanical & Industrial Engineering at the University of Toronto is home to the top Mechanical and Industrial Engineering programs in Canada. We aim to foster a collegial world-class environment that excels in research, teaching and learning.

APPLICATION PROCESS

All application materials, including recent reference letters must be received by November 11th, 2026.

• a research statement outlining current and future research interests;


• a teaching dossier including
  
  
  
  • a teaching statement
  
  
  • sample course materials, and
  
  
  • teaching evaluations
  
  
  
  


• the name and contact information of three references

The University of Toronto's recruiting tool will automatically solicit and collect letters of reference from each referee within 48 hours of an application being submitted. Applicants remain responsible for ensuring that referees submit recent letters (on letterhead, dated and signed) by the closing date. Submission guidelines and details on the automatic reference letter collection, including timelines, are available in the candidate FAQ .

Canadians and permanent residents will be given priority.

Diversity Statement

The University of Toronto embraces Diversity and is building aculture of belonging that increases our capacity to effectivelyaddress and serve the interests of our global community. Westrongly encourage applications from Indigenous Peoples,Black and racialized persons, women, persons withdisabilities, and people of diverse sexual and gender identities.We value applicants who have demonstrated a commitment toequity, diversity and inclusion and recognize that diverseperspectives, experiences, and expertise are essential tostrengthening our academic mission.

As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP .

Accessibility Statement

The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission.

The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities.

If you require any accommodations at any point during the application and hiring process, please contact [e-mail] .